Stature estimation for Sichuan Han nationality female based on X-ray technology with measurement of lumbar vertebrae.
- Author:
Si-han QING
1
;
Yun-feng CHANG
2
;
Xiao-ai DONG
2
;
Yuan LI
2
;
Xiao-gang CHEN
2
;
Yong-kang SHU
3
;
Zhen-hua DENG
2
Author Information
1. Teaching and Research of Forensic Pathology, West China School of Pre-clinical and Forensic Medicine, enjoysmile520@gmail.com
2. Teaching and Research of Forensic Pathology, West China School of Pre-clinical and Forensic Medicine,
3. Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China.
- Publication Type:Journal Article
- MeSH:
Adult;
Aged;
Aged, 80 and over;
Asian People/ethnology*;
Body Height;
China/ethnology*;
Female;
Forensic Anthropology/methods*;
Humans;
Lumbar Vertebrae/diagnostic imaging*;
Middle Aged;
Models, Theoretical;
Regression Analysis;
Sex Characteristics;
Tomography, X-Ray Computed;
Young Adult
- From:
Journal of Forensic Medicine
2013;29(5):344-347
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To establish the mathematical models of stature estimation for Sichuan Han female with measurement of lumbar vertebrae by X-ray to provide essential data for forensic anthropology research.
METHODS:The samples, 206 Sichuan Han females, were divided into three groups including group A, B and C according to the ages. Group A (206 samples) consisted of all ages, group B (116 samples) were 20-45 years old and 90 samples over 45 years old were group C. All the samples were examined lumbar vertebrae through CR technology, including the parameters of five centrums (L1-L5) as anterior border, posterior border and central heights (x1-x15), total central height of lumbar spine (x16), and the real height of every sample. The linear regression analysis was produced using the parameters to establish the mathematical models of stature estimation. Sixty-two trained subjects were tested to verify the accuracy of the mathematical models.
RESULTS:The established mathematical models by hypothesis test of linear regression equation model were statistically significant (P<0.05). The standard errors of the equation were 2.982-5.004 cm, while correlation coefficients were 0.370-0.779 and multiple correlation coefficients were 0.533-0.834. The return tests of the highest correlation coefficient and multiple correlation coefficient of each group showed that the highest accuracy of the multiple regression equation, y = 100.33 + 1.489 x3 - 0.548 x6 + 0.772 x9 + 0.058 x12 + 0.645 x15, in group A were 80.6% (+/- lSE) and 100% (+/- 2SE).
CONCLUSION:The established mathematical models in this study could be applied for the stature estimation for Sichuan Han females.
